All students who are currently working on a thesis or dissertation and those who plan to do a thesis or dissertation should attend one of these sessions.
These sessions will address:
Resources for specific style and writing standards;
Policies and procedures;
Submission and editing procedures and standards.#SPSS #DataAnalysis #Class #Training #Workshop #Tutorial #Research
We will introduce the such example of the steps that will be used in your scientific study can be summarised as follows:
Define your variables
Run frequency and descriptive analysis
Transformation of data
Exploratory data analysis (EDA) dan normality assessment
Data analysis for hypothesis testing
Modeling technique and simulation of data
The content of our Workshop:
Application of online data collection process using google drive and website method
Descriptive analysis = frequency, percentages, mean ± s.d, Level, median, mode, IQR, range, and others
Reliability test = Cronbach Alpha, inter-rater correlation
Normality test = Shapiro Wilk, Kolmogorov Smirnov, Histogram with normality curve, Q and Q plot, Boxplot, Skewness, and Kurtosis
Parametric test = t-test, ANOVA, Pearson Correlation, Regression, Simple Linear Regression
Non-parametric test = Mann Whitney U, Kruskal-Wallis, Kendal Tau and Spearman Correlation, Logistic Regression, Multiple Logistic Regression, Odd Ratio 95% CI.
Pre and Post-study = Pair t-test, Mc Necmar, Wilcoxon test
Crosstab = Chi-Square
Who can benefit from this course?
This workshop is offer for postgraduate students who are involved in quantitative data analysis. If you are involved in qualitative research, you might expand your idea to include quantitative techniques.
This workshop will also be valuable for researchers, academicians, and consultants involved in quantitative data analysis.